Name
Abstract | ||
|---|---|---|
In this study, we developed an algorithmic method to analyze late contrast-enhanced (CE) magnetic resonance (MR) images, revealing the so-called hibernating myocardium. The algorithm is based on an efficient and robust image registration algorithm. Using our method, we are able to integrate the static late CE MR image with its corresponding cardiac cine MR images, constructing cardiac motion CE MR images, which are referred to as cardiac cine CE MR images. This method appears promising as an improved cardiac viability assessment tool |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1315325.1315331 | ACM Crossroads |
Keywords | Field | DocType |
corresponding cardiac cine mr,cardiac motion,ce mr image,motion field,robust image registration algorithm,improved cardiac viability assessment,static late ce mr,magnetic resonance,algorithmic method,cardiac image,cardiac cine,so-called hibernating myocardium,image registration | Computer vision,Image warping,Motion field,Computer science,Hibernating myocardium,Artificial intelligence,Cardiac motion,Image registration,Magnetic resonance imaging | Journal |
Volume | Issue | Citations |
13 | 4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Gao | 1 | 92 | 10.45 |
| P. Cockshott | 2 | 26 | 14.03 |